TY - GEN
T1 - Simplified transformer winding modelling and parameter identification using particle swarm optimiser with passive congregation
AU - Shintemirov, A.
AU - Tang, W. H.
AU - Lu, Z.
AU - Wu, Q. H.
PY - 2007/8/27
Y1 - 2007/8/27
N2 - The paper presents a simplified mathematical model of disctype transformer winding for frequency response analysis (FRA) based on traveling wave and multiconductor transmission line theories. The simplified model is applied to the FRA simulation of a transformer winding. In order to identify the distributed parameters of the model, an intelligent learning technique, rooted from particle swarm optimiser with passive congregation (PSOPC) is utilised. Simulations and discussions are presented to explore the proposed optimization approach.
AB - The paper presents a simplified mathematical model of disctype transformer winding for frequency response analysis (FRA) based on traveling wave and multiconductor transmission line theories. The simplified model is applied to the FRA simulation of a transformer winding. In order to identify the distributed parameters of the model, an intelligent learning technique, rooted from particle swarm optimiser with passive congregation (PSOPC) is utilised. Simulations and discussions are presented to explore the proposed optimization approach.
KW - Particle swarm optimiser with passive congregation
KW - Transformer winding mathematical model
UR - http://www.scopus.com/inward/record.url?scp=34548096248&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34548096248&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:34548096248
SN - 3540718044
SN - 9783540718048
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 145
EP - 152
BT - Applications of Evolutionary Computing - EvoWorkshops 2007
T2 - EvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG
Y2 - 11 April 2007 through 13 April 2007
ER -